This thesis is carried out in the field of digitizing physical entities as part of Industry 4.0 for the company GKN Aerospace Engine Systems Sweden with the aim to update digital twin of an automation cell. The purpose of this thesis is to quickly replicate physical entities into virtual environment in the form of 3D models. The goal is to assist manufactures keeping track of the changes made in their workspaces and equipment within their facilities and replicate old machinery virtually which does not have any 3D digital model. Finding an optimal scanning technique which could efficiently scan the automation cell. CloudCompare with its various built-in tools is used process point clouds and compare them to identify the changes. The identified changes are then converted to 3D mesh model using surface reconstruction method. The proposed method is implemented in an integrated manner by testing the existing techniques in the method and finding quick and user-friendly method. The output results are projected into simulation environment for visualization.